Data Scientist, Oficinas centrales IKEA Spain

  • Jornada Completa
  • LinkedIn
  • Madrid

IKEA 

Acerca del empleo

WHAT YOU’LL NEED TO HAVE
Capabilities:
• Performs work with care, accuracy, and attention to detail and strives to meet quality standards
• Ability to work with large amounts of raw data and feel comfortable with working with different programming languages
• High intellectual curiosity with ability to develop new knowledge and skills and use new concepts, methods, digital systems and processes to improve performance
• Ability to provide input to user-story prioritisation as appropriate based on new ideas, approaches, and strategies
• Collaborates with others (incl. virtual) to achieve goals
• Ability to understand the complexity of IKEA business and the role of data and information as an integrated part of the business

Requirements:
• Proven Knowledge and experience working in data set processes for data modelling, mining and production, as well as visualization tools e.g. Tableau
• Experience at least 3 years in Data Analytic
• Knowledge of at least one building block of artificial intelligence
• Proven Knowledge and experience working with machine learning development languages (R and/or Python) and other developments in the fast moving data technology landscape e.g. Hive or Hadoop
• Knowledge of DevOps and agile development practices
• Proven Exposure and experience working in development of industrialised analytical software products
• Knowledge of IKEAs corporate identity, core values and vision of creating a better everyday life for the many people

WHAT YOU’LL BE DOING DAY TO DAY
• Explore and examine data for use in predictive and prescriptive modelling to deliver insights to the business stakeholders and support them to make better decisions
• Influence product and strategy decisionmaking by helping to visualize complex data and enable change through knowledge of the business drivers that make the product successful
• Support senior colleagues with modelling projects, identifying requirements and build tools that are statistically grounded, explainable and able to adapt to changing attributes
• Support the development and deployment of different analytical building blocks that support the requirements of the capability area and customer needs
• Use root cause research to identify process breakdowns and provide data through the use of various skill sets to find solutions to the breakdown
• Work closely with other data scientists and across functions to help produce all required design specifications and ensure that data solutions work together and fulfill business needs.

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